Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2017
Research article |
| 09 Mar 2017
In-operation field-of-view retrieval (IFR) for satellite and ground-based DOAS-type instruments applying coincident high-resolution imager data
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Institute of Environmental Physics (IUP), University of Heidelberg, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany
Peter Lübcke
Institute of Environmental Physics (IUP), University of Heidelberg, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany
Rüdiger Lang
European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Eumetsat Allee 1, 64295 Darmstadt, Germany
Steffen Beirle
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Martin de Graaf
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Delft University of Technology (TU-Delft), Stevinweg 1, 2628 CN Delft, the Netherlands
Christoph Hörmann
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Johannes Lampel
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Marloes Penning de Vries
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Julia Remmers
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Ed Trollope
European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Eumetsat Allee 1, 64295 Darmstadt, Germany
Telespazio VEGA Deutschland GmbH, Europaplatz 5, 64293 Darmstadt, Germany
Yang Wang
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Thomas Wagner
Max Planck Institute for Chemistry (MPIC), Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Viewed
Total article views: 3,270 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,839 | 1,214 | 217 | 3,270 | 274 | 131 | 145 |
- HTML: 1,839
- PDF: 1,214
- XML: 217
- Total: 3,270
- Supplement: 274
- BibTeX: 131
- EndNote: 145
Total article views: 2,481 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Mar 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,522 | 755 | 204 | 2,481 | 152 | 122 | 128 |
- HTML: 1,522
- PDF: 755
- XML: 204
- Total: 2,481
- Supplement: 152
- BibTeX: 122
- EndNote: 128
Total article views: 789 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 317 | 459 | 13 | 789 | 122 | 9 | 17 |
- HTML: 317
- PDF: 459
- XML: 13
- Total: 789
- Supplement: 122
- BibTeX: 9
- EndNote: 17
Viewed (geographical distribution)
Total article views: 3,270 (including HTML, PDF, and XML)
Thereof 3,167 with geography defined
and 103 with unknown origin.
Total article views: 2,481 (including HTML, PDF, and XML)
Thereof 2,418 with geography defined
and 63 with unknown origin.
Total article views: 789 (including HTML, PDF, and XML)
Thereof 749 with geography defined
and 40 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
11 citations as recorded by crossref.
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Modelling vision angles of optical camera zoom using image processing algorithm H. Abbas et al. 10.1088/1757-899X/571/1/012117
- Quantifying BrO and SO2 distributions in volcanic plumes—Recent advances in imaging Fabry-Pérot interferometer correlation spectroscopy A. Nies et al. 10.3389/feart.2023.1063922
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources J. Gliß et al. 10.3390/geosciences7040134
- Towards imaging of atmospheric trace gases using Fabry–Pérot interferometer correlation spectroscopy in the UV and visible spectral range J. Kuhn et al. 10.5194/amt-12-735-2019
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. 10.5194/amt-12-5119-2019
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Characteristics of the Spectral Response Function of Geostationary Environment Monitoring Spectrometer Analyzed by Ground and In-Orbit Measurements M. Kang et al. 10.1109/TGRS.2021.3091677
- Parameterizing the instrumental spectral response function and its changes by a super-Gaussian and its derivatives S. Beirle et al. 10.5194/amt-10-581-2017
10 citations as recorded by crossref.
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Modelling vision angles of optical camera zoom using image processing algorithm H. Abbas et al. 10.1088/1757-899X/571/1/012117
- Quantifying BrO and SO2 distributions in volcanic plumes—Recent advances in imaging Fabry-Pérot interferometer correlation spectroscopy A. Nies et al. 10.3389/feart.2023.1063922
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources J. Gliß et al. 10.3390/geosciences7040134
- Towards imaging of atmospheric trace gases using Fabry–Pérot interferometer correlation spectroscopy in the UV and visible spectral range J. Kuhn et al. 10.5194/amt-12-735-2019
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. 10.5194/amt-12-5119-2019
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Characteristics of the Spectral Response Function of Geostationary Environment Monitoring Spectrometer Analyzed by Ground and In-Orbit Measurements M. Kang et al. 10.1109/TGRS.2021.3091677
Latest update: 23 Nov 2024
Short summary
This paper presents the independent and simple IFR method to retrieve the FOV of an instrument, i.e. the two-dimensional sensitivity distribution. IFR relies on correlated measurements featuring a higher spatial resolution and was applied to two satellite instruments, GOME-2 and OMI, and a DOAS instrument integrated in an SO2 camera. Our results confirm the commonly applied FOV distributions. IFR is applicable for verification exercises as well as degradation monitoring in the field.
This paper presents the independent and simple IFR method to retrieve the FOV of an instrument,...
